papers
Publications (13)
cs.LG2025
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Jared Fernandez, Luca Wehrstedt, Leonid Shamis +5
cs.CL2020
Generative Data Augmentation for Commonsense Reasoning
Yiben Yang, Chaitanya Malaviya, Jared Fernandez +6
cs.CR2026
Crypto x AI, AI x Crypto: A Survey
Sarah Allen, Pranay Anchuri, James Austgen +22
cs.CY2025
Holistically Evaluating the Environmental Impact of Creating Language Models
Jacob Morrison, Clara Na, Jared Fernandez +3
cs.LG2023
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment
Jared Fernandez, Jacob Kahn, Clara Na +2
cs.CL2024
Gradient Localization Improves Lifelong Pretraining of Language Models
Jared Fernandez, Yonatan Bisk, Emma Strubell
cs.CL2023
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation
Hao Peng, Qingqing Cao, Jesse Dodge +11
cs.CV2021
CIGLI: Conditional Image Generation from Language & Image
Xiaopeng Lu, Lynnette Ng, Jared Fernandez +1
cs.DC2026
The Energy Cost of Execution-Idle in GPU Clusters
Yiran Lei, Jared Fernandez, Vasilis Kypriotis +4
cs.CL2019
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense
Michael Chen, Mike D'Arcy, Alisa Liu +2
cs.LG2026
Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment
Jared Fernandez, Clara Na, Yonatan Bisk +2
cs.CL2025
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
cs.AR2025
Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation
Alex C. Newkirk, Jared Fernandez, Jonathan Koomey +4